MuDA: Multifunctional data aggregation in privacy-preserving smart grid communications

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• 作者：Le Chen ; Rongxing Lu ; Zhenfu Cao…
• 关键词：Smart grid ; Privacy ; preserving ; Multifunctional aggregation ; Differential privacy
• 刊名：Peer-to-Peer Networking and Applications
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：8
• 期：5
• 页码：777-792
• 全文大小：2,195 KB
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• 作者单位：Le Chen (1) (2)
  Rongxing Lu (2)
  Zhenfu Cao (1)
  Khalid AlHarbi (3)
  Xiaodong Lin (3)
  
  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai, China
  2. School of Electrical and Electronics Engineering, Nanyang Technological University, 50 Nanyang Ave., Nanyang, Singapore
  3. Faculty of Business and Information Technology, University of Ontario Institute of Technology, 2000 Simcoe St N, Oshawa, Ontario, Canada
  
• 刊物类别：Engineering
• 刊物主题：Communications Engineering and Networks
  Information Systems and Communication Service
  Computer Communication Networks
  
• 出版者：Springer New York
• ISSN：1936-6450

文摘

Privacy-preserving data aggregation has been widely studied to meet the requirement of timely monitoring electricity consumption of users while protecting individual user’s data privacy in smart grid communications. In this paper, we propose a new multifunctional data aggregation scheme, named MuDA, for privacy-preserving smart grid communications. With MuDA, the smart grid control center can compute multiple statistical functions of users-data in a privacy-preserving way to provide diversiform services. Moreover, MuDA is also designed to resist differential attacks that most secure data aggregation schemes may suffer. Through detailed security and utility analyses, we demonstrate that MuDA preserves users-data privacy with acceptable noise rate. In addition, extensive performance evaluations are conducted to illustrate that our MuDA scheme is more efficient than a popular aggregation scheme in terms of communication overhead.